Development and Validation of a Necrotizing Soft-Tissue Infection Mortality Risk Calculator Using NSQIP - 20/06/13

Abstract |
Background |
Necrotizing soft-tissue infections (NSTI) are a group of uncommon, rapidly progressive infections requiring prompt surgical debridement and systemic support. A previous attempt to define risk factors for mortality from NSTI had multiple limitations. The objective of this study was to develop and validate a 30-day postoperative mortality risk calculator for patients with NSTI using NSQIP.
Study Design |
The NSQIP Participant Use Files (2005–2010) were used as the primary data source. Patients diagnosed with NSTI were identified by ICD-9 codes. Multiple logistic regression analysis identified key preoperative variables predicting mortality. Bootstrap analysis was used to validate the model.
Results |
In 1,392 identified NSTI cases, demographics were as follows: 42% were female, median age was 55 years (interquartile range 46 to 63 years), and median body mass index was 32 kg/m2 (interquartile range 26 to 40 kg/m2). Thirty-day mortality was 13%. Seven independent variables were identified that correlated with mortality: age older than 60 years (odds ratio [OR] = 2.5; 95% CI 1.7–3.6), functional status (partially dependent: OR = 1.6; 95% CI 1.0–2.7; totally dependent: OR = 2.3; 95% CI 1.4–3.8), requiring dialysis (OR = 1.9; 95% CI 1.2–3.1), American Society of Anesthesiologists class 4 or higher (OR = 3.6; 95% CI 2.3–5.6), emergent surgery (OR = 1.6; 95% CI 1.0–2.3), septic shock (OR = 2.4; 95% CI 1.6–3.6), and low platelet count (<50K/μL: OR = 3.5; 95% CI 1.6–7.4; <150K/μL but >50K/μL: OR = 1.9; 95% CI 1.2–2.9). The receiver operating characteristic area was 0.85 (95% CI 0.82–0.87), which indicated a strong predictive model. Using bootstrap validation, the optimism-corrected receiver operating characteristic area was 0.83 (95% CI 0.81–0.86), which represents the model performance in future patients. The model was used to develop an interactive risk calculator.
Conclusions |
This risk calculator has excellent predictive ability for mortality in patients with NSTI. This simple interactive tool can aid physicians and patients in the decision-making process.
Le texte complet de cet article est disponible en PDF.Abbreviations and Acronyms : CPT, IQR, NSTI, OR, PUF, ROC
Plan
| CME questions for this article available at jacscme.facs.org |
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| Disclosure Information: Authors have nothing to disclose. Timothy J Eberlein, Editor-in-Chief, has nothing to disclose. |
Vol 217 - N° 1
P. 153 - juillet 2013 Retour au numéroBienvenue sur EM-consulte, la référence des professionnels de santé.
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